Pradyumna Pradhan
Orcid: 0009-0008-6807-5195
According to our database1,
Pradyumna Pradhan authored at least 11 papers
between 2024 and 2026.
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Bibliography
2026
Deep Unfolding of Tail-Based Methods for Robust Sparse Recovery Under Noise and Model Mismatch.
IEEE Trans. Neural Networks Learn. Syst., June, 2026
A Frame-Theoretic Approach to Robust Filter Pruning in Convolutional Neural Networks.
IEEE Signal Process. Lett., 2026
Sufficient Conditions for Convergence of RHT and RHTP Algorithms Based on RIC of Order $2s$.
IEEE Signal Process. Lett., 2026
2025
Deterministic construction of unimodular tight frames consisting orthogonal blocks via block preserving operators.
Signal Process., 2025
Non-negative sparse signal recovery using the integration of ReLU and hard thresholding pursuit operators.
Signal Process., 2025
Non-iterative sparse signal recovery algorithms for sparse matrices and their guarantees.
J. Frankl. Inst., 2025
Learned ReLU-Based Soft Thresholding: A Data-Driven Method for Non-Negative Sparse Signal Recovery.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
Optimization Guarantees of Unfolded ISTA and ADMM Networks With Smooth Soft-Thresholding.
IEEE Trans. Signal Process., 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024